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Social Network Addiction: A Structural Equation Modelling

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Communication and Applied Technologies (ICOMTA 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 375))

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Abstract

One of the most common challenges for researchers is how to determine the reliability and validity of the data collection instruments used in scientific research. These instruments must be individually reliable and valid in order to ensure that a particular characteristic is estimated correctly. There is growing interest in improving the quality and use of data collection instruments for scientific research. In a recent study, confirmatory factor analysis was used in a structural equation modelling approach to validate the “Cuestionario de Adicción a Redes Sociales” (Social Network Addiction Questionnaire, ARS). As a tool for validating the ARS, structural equation modelling provided explicit estimates of error variance parameters, allowing results to be established with greater certainty.

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Author information

Authors and Affiliations

  1. Universitat Rovira i Virgili, 43003, Tarragona, España

    Luis Marqués-Molias

  2. Universidad Católica de Santa María, Arequipa, 04000, Perú

    Klinge Orlando Villalba-Condori

  3. Universidad San Ignacio de Loyola, Lima, 15024, Perú

    Renato Peñaflor

  4. Universidad Peruana de Ciencias Aplicadas, Lima, 15023, Perú

    Eliana Gallardo-Echenique

Authors
  1. Luis Marqués-Molias
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  2. Klinge Orlando Villalba-Condori
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  3. Renato Peñaflor
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  4. Eliana Gallardo-Echenique
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Corresponding author

Correspondence to Eliana Gallardo-Echenique .

Editor information

Editors and Affiliations

  1. Málaga, Spain

    Daniel Barredo Ibáñez

  2. Rúa da Maestranza, A Coruña, Spain

    Laura M. Castro

  3. Complejo Cultural Universitario, Puebla, Mexico

    Araceli Espinosa

  4. Circunvalación ao Campus Universitario, Vigo, Spain

    Iván Puentes-Rivera

  5. Campus Vida, Avenida do Doutor Ángel Jorge Echeverri, Santiago de Compostela, Spain

    Paulo Carlos López-López

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Marqués-Molias, L., Villalba-Condori, K.O., Peñaflor, R., Gallardo-Echenique, E. (2024). Social Network Addiction: A Structural Equation Modelling. In: Ibáñez, D.B., Castro, L.M., Espinosa, A., Puentes-Rivera, I., López-López, P.C. (eds) Communication and Applied Technologies. ICOMTA 2023. Smart Innovation, Systems and Technologies, vol 375. Springer, Singapore. https://doi.org/10.1007/978-981-99-7210-4_2

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